{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import sys \n",
    "from os import getcwd, path\n",
    "sys.path.append(path.dirname(getcwd()))\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "\n",
    "sb.set_context('paper')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'dataframe_hash': 6797089423601767780,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.4.0+3.gda968fb',\n",
      "                             u'isovar': u'0.0.6',\n",
      "                             u'mhctools': u'0.3.0',\n",
      "                             u'numpy': u'1.11.1',\n",
      "                             u'pandas': u'0.18.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n",
      "inner join with pdl1: 26 to 26 rows\n"
     ]
    }
   ],
   "source": [
    "from utils import data\n",
    "from utils.data import patient_id_to_str\n",
    "from utils.paper import mann_whitney_hyper_label_printer, fishers_exact_hyper_label_printer\n",
    "cohort = data.init_cohort(exclude_patient_ids=set(), only_patients_with_bams=True)\n",
    "cohort_df = cohort.as_dataframe(join_with=['pdl1'])\n",
    "cohort_df['Response'] = cohort_df['benefit'].map(lambda v: cohort.benefit_plot_name if v\n",
    "                                                 else 'No ' + cohort.benefit_plot_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "annotated_effects = cohort.load_polyphen_annotations(as_dataframe=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pyensembl import ensembl75"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>gene_name</th>\n",
       "      <th>index</th>\n",
       "      <th>TSPAN6</th>\n",
       "      <th>TNMD</th>\n",
       "      <th>DPM1</th>\n",
       "      <th>SCYL3</th>\n",
       "      <th>C1orf112</th>\n",
       "      <th>FGR</th>\n",
       "      <th>CFH</th>\n",
       "      <th>FUCA2</th>\n",
       "      <th>GCLC</th>\n",
       "      <th>...</th>\n",
       "      <th>RPS9</th>\n",
       "      <th>PCDHB19P</th>\n",
       "      <th>PRPF31</th>\n",
       "      <th>MBOAT7</th>\n",
       "      <th>LDHAL6FP</th>\n",
       "      <th>AC005795.1</th>\n",
       "      <th>PRKCD</th>\n",
       "      <th>OR6R2P</th>\n",
       "      <th>TSEN34</th>\n",
       "      <th>patient_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>540.2140</td>\n",
       "      <td>56.00000</td>\n",
       "      <td>649.00029</td>\n",
       "      <td>830.8775</td>\n",
       "      <td>582.19160</td>\n",
       "      <td>786.00010</td>\n",
       "      <td>454.547440</td>\n",
       "      <td>4631.10524</td>\n",
       "      <td>748.34841</td>\n",
       "      <td>...</td>\n",
       "      <td>2019.060</td>\n",
       "      <td>609.9150</td>\n",
       "      <td>289.089618</td>\n",
       "      <td>558.051916</td>\n",
       "      <td>5.5000</td>\n",
       "      <td>3.55145</td>\n",
       "      <td>2297.733000</td>\n",
       "      <td>1.00419</td>\n",
       "      <td>121.806427</td>\n",
       "      <td>0040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>471</td>\n",
       "      <td>1133.3780</td>\n",
       "      <td>77.00000</td>\n",
       "      <td>445.99969</td>\n",
       "      <td>903.3402</td>\n",
       "      <td>456.25392</td>\n",
       "      <td>342.99990</td>\n",
       "      <td>984.792258</td>\n",
       "      <td>1619.13800</td>\n",
       "      <td>989.51800</td>\n",
       "      <td>...</td>\n",
       "      <td>3040.690</td>\n",
       "      <td>107.7640</td>\n",
       "      <td>195.470580</td>\n",
       "      <td>505.955050</td>\n",
       "      <td>6.0000</td>\n",
       "      <td>6.58465</td>\n",
       "      <td>1150.999900</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>315.858201</td>\n",
       "      <td>0471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>522</td>\n",
       "      <td>1182.8780</td>\n",
       "      <td>19.00004</td>\n",
       "      <td>1216.99897</td>\n",
       "      <td>2934.5000</td>\n",
       "      <td>1905.22708</td>\n",
       "      <td>2080.99702</td>\n",
       "      <td>3423.509560</td>\n",
       "      <td>2694.14115</td>\n",
       "      <td>5283.14540</td>\n",
       "      <td>...</td>\n",
       "      <td>2943.530</td>\n",
       "      <td>21.2127</td>\n",
       "      <td>195.200002</td>\n",
       "      <td>294.738990</td>\n",
       "      <td>17.5000</td>\n",
       "      <td>6.08811</td>\n",
       "      <td>2669.242960</td>\n",
       "      <td>1.01251</td>\n",
       "      <td>4.892077</td>\n",
       "      <td>0522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1233</td>\n",
       "      <td>201.0806</td>\n",
       "      <td>24.00000</td>\n",
       "      <td>225.99970</td>\n",
       "      <td>616.9180</td>\n",
       "      <td>776.95600</td>\n",
       "      <td>945.99969</td>\n",
       "      <td>1183.850300</td>\n",
       "      <td>710.33517</td>\n",
       "      <td>1073.24268</td>\n",
       "      <td>...</td>\n",
       "      <td>2863.210</td>\n",
       "      <td>175.2840</td>\n",
       "      <td>123.326675</td>\n",
       "      <td>267.840510</td>\n",
       "      <td>15.7641</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>774.582010</td>\n",
       "      <td>2.12905</td>\n",
       "      <td>194.579000</td>\n",
       "      <td>1233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1249</td>\n",
       "      <td>312.2663</td>\n",
       "      <td>163.00000</td>\n",
       "      <td>102.99996</td>\n",
       "      <td>204.7884</td>\n",
       "      <td>498.61147</td>\n",
       "      <td>107.99996</td>\n",
       "      <td>733.000220</td>\n",
       "      <td>511.54965</td>\n",
       "      <td>356.15960</td>\n",
       "      <td>...</td>\n",
       "      <td>547.199</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>54.899960</td>\n",
       "      <td>22.543993</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>14.53360</td>\n",
       "      <td>50.999949</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>6.626220</td>\n",
       "      <td>1249</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39295 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "gene_name index     TSPAN6       TNMD        DPM1      SCYL3    C1orf112  \\\n",
       "0            40   540.2140   56.00000   649.00029   830.8775   582.19160   \n",
       "1           471  1133.3780   77.00000   445.99969   903.3402   456.25392   \n",
       "2           522  1182.8780   19.00004  1216.99897  2934.5000  1905.22708   \n",
       "3          1233   201.0806   24.00000   225.99970   616.9180   776.95600   \n",
       "4          1249   312.2663  163.00000   102.99996   204.7884   498.61147   \n",
       "\n",
       "gene_name         FGR          CFH       FUCA2        GCLC     ...      \\\n",
       "0           786.00010   454.547440  4631.10524   748.34841     ...       \n",
       "1           342.99990   984.792258  1619.13800   989.51800     ...       \n",
       "2          2080.99702  3423.509560  2694.14115  5283.14540     ...       \n",
       "3           945.99969  1183.850300   710.33517  1073.24268     ...       \n",
       "4           107.99996   733.000220   511.54965   356.15960     ...       \n",
       "\n",
       "gene_name      RPS9  PCDHB19P      PRPF31      MBOAT7  LDHAL6FP  AC005795.1  \\\n",
       "0          2019.060  609.9150  289.089618  558.051916    5.5000     3.55145   \n",
       "1          3040.690  107.7640  195.470580  505.955050    6.0000     6.58465   \n",
       "2          2943.530   21.2127  195.200002  294.738990   17.5000     6.08811   \n",
       "3          2863.210  175.2840  123.326675  267.840510   15.7641     0.00000   \n",
       "4           547.199    2.5000   54.899960   22.543993    9.0000    14.53360   \n",
       "\n",
       "gene_name        PRKCD   OR6R2P      TSEN34  patient_id  \n",
       "0          2297.733000  1.00419  121.806427        0040  \n",
       "1          1150.999900  1.00000  315.858201        0471  \n",
       "2          2669.242960  1.01251    4.892077        0522  \n",
       "3           774.582010  2.12905  194.579000        1233  \n",
       "4            50.999949  0.00000    6.626220        1249  \n",
       "\n",
       "[5 rows x 39295 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from utils.data import patient_id_to_str\n",
    "kallisto_data = pd.read_csv('../bladder-kallisto-tximport.csv', index_col=0)\n",
    "kallisto_data['gene_name'] = kallisto_data.index.map(lambda gid: ensembl75.gene_name_of_gene_id(gid))\n",
    "kallisto_data = kallisto_data.reset_index().drop(['index'], axis=1).set_index('gene_name').T.reset_index()\n",
    "kallisto_data['patient_id'] = kallisto_data['index'].map(patient_id_to_str)\n",
    "kallisto_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from utils.paper import (\n",
    "    mann_whitney_hyper_label_printer, \n",
    "    fishers_exact_hyper_label_printer, \n",
    "    hyper_label_printer, \n",
    "    fishers_exact_formatter,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Print mutated\n",
    "# Plot Fisher's Exact for mutated vs not, benefit vs not\n",
    "# Mann - Whitney \n",
    "# AUC with gene expression\n",
    "\n",
    "from cohorts.plot import mann_whitney_plot, fishers_exact_plot, roc_curve_plot\n",
    "\n",
    "def create_gene_summary(gene_name):\n",
    "    mutations = annotated_effects[annotated_effects.gene == gene_name]\n",
    "    expression = kallisto_data[['patient_id', gene_name]]\n",
    "    \n",
    "    df = cohort_df.copy()\n",
    "    \n",
    "    mut_col = gene_name + ' Mutated'\n",
    "    df[mut_col] = df.patient_id.isin(mutations.patient_id)\n",
    "    \n",
    "    expr_col = gene_name + ' scaledTPM'\n",
    "    expression.rename(columns={gene_name : expr_col}, inplace=True)\n",
    "    df = df.merge(expression, how='left')\n",
    "    \n",
    "    if len(mutations) > 0:\n",
    "        cols = 3\n",
    "        width = 12\n",
    "        height = 4\n",
    "    else:\n",
    "        cols = 2\n",
    "        width = 8\n",
    "        height = 4\n",
    "    f, ax = plt.subplots(1, cols, figsize=(width, height))\n",
    "    \n",
    "    if len(mutations) > 0:\n",
    "        mut_plot = fishers_exact_plot(data=df, condition1='Response', condition1_value=cohort.benefit_plot_name, condition2=mut_col, ax=ax[0])\n",
    "        hyper_label_printer(fishers_exact_formatter, gene_name + \"_mut\", results=mut_plot)\n",
    "        \n",
    "    expr_plot = mann_whitney_plot(data=df, \n",
    "                                  condition='Response', \n",
    "                                  distribution=expr_col, \n",
    "                                  condition_value=cohort.benefit_plot_name, \n",
    "                                  ax=ax[-2])\n",
    "    mann_whitney_hyper_label_printer(expr_plot, gene_name)\n",
    "    df['benefit'] = df['benefit'].astype(int)\n",
    "    expr_roc = roc_curve_plot(data=df, value_column=expr_col, outcome_column='benefit', ax=ax[-1])\n",
    "    f.tight_layout()\n",
    "    return mutations[['patient_id', 'aa_change', 'hvar_pred', 'hvar_prob', 'hdiv_pred']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tavi/miniconda2/lib/python2.7/site-packages/pandas/core/frame.py:2754: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=87.0, p-value=0.589908896616 (two-sided)\n",
      "{{{ERCC2_plot}}}\n",
      "{{{ERCC2_benefit:1231.44 (range 136.81-6170.92)}}}\n",
      "{{{ERCC2_no_benefit:1128.52 (range 166.99-4159.95)}}}\n",
      "{{{ERCC2_mw:n=26, Mann-Whitney p=0.59}}}\n",
      "ERCC2 scaledTPM, Bootstrap (samples = 100) AUC:0.542020447564, std=0.135450086254\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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q1qxJ+/bt8fLyIjU1FSsrK9atW8etW7eYPXu2mq9kyZIMGjSIgIAAzMzMqFWr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\nP3pi1KhRqFSqQltGkpKSqFevXr7ldevWLfVdUV737t1DkiRl/7a2tjx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CQkKxTe+CUJSi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\nIAh6SyQqgiAIgiDorf8HE8ebU8tx/TwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4639a6abd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('ERCC2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=81.0, p-value=0.829309516759 (two-sided)\n",
      "{{{JAK1_plot}}}\n",
      "{{{JAK1_benefit:4767.14 (range 765.00-9183.00)}}}\n",
      "{{{JAK1_no_benefit:4089.77 (range 147.00-13141.81)}}}\n",
      "{{{JAK1_mw:n=26, Mann-Whitney p=0.83}}}\n",
      "JAK1 scaledTPM, Bootstrap (samples = 100) AUC:0.521854411892, std=0.123730370581\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SenpCiHzMnz+fy5cvqxsZ/vNPUd26dYu3334bNzc3WrVqxVtvvUVcXFyh7hsX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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f464946c810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('JAK1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=81.0, p-value=0.829309516759 (two-sided)\n",
      "{{{JAK2_plot}}}\n",
      "{{{JAK2_benefit:847.49 (range 165.06-1522.07)}}}\n",
      "{{{JAK2_no_benefit:878.75 (range 107.49-2717.72)}}}\n",
      "{{{JAK2_mw:n=26, Mann-Whitney p=0.83}}}\n",
      "JAK2 scaledTPM, Bootstrap (samples = 100) AUC:0.524965804695, std=0.132023946524\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cObRo0YKsrCx++eUXRo4cySeffFKWcQohniPnzp3j7Nmz+g5DCFEOFLrwpEKF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\n9ddfLFy4kNq1axd4rn379tGuXTvu37/PjRs3iIiIYNWqVSxfvpxOnTr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Tp3Px4kWuXr3K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\nkqgIIYQQwmhJoiKEEEIIo/X/r2925f70dwwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f462df18190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('JAK2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=93.0, p-value=0.388495557235 (two-sided)\n",
      "{{{B2M_plot}}}\n",
      "{{{B2M_benefit:5402.00 (range 1566.00-22656.01)}}}\n",
      "{{{B2M_no_benefit:4207.00 (range 29.00-25234.95)}}}\n",
      "{{{B2M_mw:n=26, Mann-Whitney p=0.39}}}\n",
      "B2M scaledTPM, Bootstrap (samples = 100) AUC:0.627304388075, std=0.125586756925\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rV68yc+ZMmjdvzoQJEzh37hxmZmZ6X0IIkZtOnjzJiRMn8jsMIUQ+yHJmxcnJ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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f467006b250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('B2M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FGFR3 Mutated  False  True \n",
      "Response                   \n",
      "DCB                8      1\n",
      "No DCB            16      1\n",
      "Fisher's Exact Test: OR: 0.5, p-value=1.0 (two-sided)\n",
      "{{{FGFR3_mut:n=26, Fisher's Exact p=1.00}}}\n",
      "Mann-Whitney test: U=93.0, p-value=0.388495557235 (two-sided)\n",
      "{{{FGFR3_plot}}}\n",
      "{{{FGFR3_benefit:2073.85 (range 598.81-42675.98)}}}\n",
      "{{{FGFR3_no_benefit:1297.79 (range 110.25-45804.20)}}}\n",
      "{{{FGFR3_mw:n=26, Mann-Whitney p=0.39}}}\n",
      "FGFR3 scaledTPM, Bootstrap (samples = 100) AUC:0.609641817224, std=0.120867331289\n"
     ]
    },
    {
     "data": {
      "image/png": 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58uW5f/8+Go2GtLQ00tPTuX//PiYmJhgbG+sVhxDi+WhX8bawsMDIyKiIoxFC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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f466fc4a190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = create_gene_summary('FGFR3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=84.0, p-value=0.705967288018 (two-sided)\n",
      "{{{WNT7B_plot}}}\n",
      "{{{WNT7B_benefit:441.86 (range 78.24-5883.27)}}}\n",
      "{{{WNT7B_no_benefit:422.49 (range 23.01-4699.22)}}}\n",
      "{{{WNT7B_mw:n=26, Mann-Whitney p=0.71}}}\n",
      "WNT7B scaledTPM, Bootstrap (samples = 100) AUC:0.536404626218, std=0.139863173594\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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U6bUOeO3aNWrUqJEuyalbty67du3i4cOH2Nvb88svv6TbNzw8HBsbG22Anb29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\na69Vazxdu3ZFpVIRFhams/z48eNIkkSrVq3KHE9FY6pXrx4pKSncvn1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cWWKvCJGoCEWa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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f466fc21f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('WNT7B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=73.0, p-value=0.871549651607 (two-sided)\n",
      "{{{MYC_plot}}}\n",
      "{{{MYC_benefit:2929.00 (range 148.00-13010.00)}}}\n",
      "{{{MYC_no_benefit:3124.01 (range 276.00-10388.01)}}}\n",
      "{{{MYC_mw:n=26, Mann-Whitney p=0.87}}}\n",
      "MYC scaledTPM, Bootstrap (samples = 100) AUC:0.491680053238, std=0.13316435727\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QaDSULVuWzp0707t37xwzZgpCuyz22bNn0Wg07N+/H2tra6ytrfHw8GDKlCko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\nNElWhBBCCFGm/X85gSja5ALNmwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f467006b250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('MYC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=65.0, p-value=0.55327159587 (two-sided)\n",
      "{{{PTEN_plot}}}\n",
      "{{{PTEN_benefit:1491.11 (range 368.33-2909.58)}}}\n",
      "{{{PTEN_no_benefit:1883.72 (range 166.01-6410.02)}}}\n",
      "{{{PTEN_mw:n=26, Mann-Whitney p=0.55}}}\n",
      "PTEN scaledTPM, Bootstrap (samples = 100) AUC:0.436427527693, std=0.123086492058\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>aa_change</th>\n",
       "      <th>hvar_pred</th>\n",
       "      <th>hvar_prob</th>\n",
       "      <th>hdiv_pred</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [patient_id, aa_change, hvar_pred, hvar_prob, hdiv_pred]\n",
       "Index: []"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ohRAlSkxMDMOHD8/1ZHNJVIQoGXId+tEuDYyIiMj2TB0hhCgIy5YtU3t0s5PX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\nljUe7Xvv8OHDHD58WGe/bm5urF+/vsJjKkhZkvayxjN+/Hhq1qzJxo0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/gNyW0QYNGgC5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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f466fcbf1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_gene_summary('PTEN')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
